Steam heat supply network dynamic simulation method based on internal conservation

Abstract

The invention relates to a steam heat supply network dynamic simulation method based on internal conservation. According to the method, a steam heat supply network model is described, a steam pipe network is assumed as a single-phase compressible fluid network, and the steam heat supply network model is composed of nodes and pipelines. A pipe network physical model is established by using a pipe network quality equation, a momentum equation and an energy equation, and a nonlinear differential equation set obtained by the physical model is solved by adopting an implicit Euler algorithm and a sparse matrix algorithm. The steam pipe network dynamic simulation model and algorithm provided by the invention are proved to have very high engineering application value by taking actual operation data of a steam pipe network of a certain enterprise as a contrast and comparing the actual operation data with program dynamic simulation to achieve better result coincidence.

Description

technical field [0001] The invention belongs to the technical field of energy system simulation methods, and in particular relates to a dynamic simulation method of a steam heating network based on internal conservation. Background technique [0002] As the world's energy crisis and environmental pollution become increasingly prominent, it is urgent to upgrade the current energy supply system and build a clean, efficient and sustainable energy "generation-transmission-distribution-use" system. In this context, the Integrated Energy System (IES) came into being. The integrated energy system can coordinate multiple energy carriers (such as electricity, heat / cold, natural gas and hydrogen, etc.), and give full play to the synergistic and complementary effects of multi-energy, thereby improving the efficiency of comprehensive energy utilization, promoting the consumption of renewable energy, and reducing energy consumption. cost and emissions, and has broad application prospect...

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Problems solved by technology

However, it is difficult for these models to obtain the dynamic change process of the flow at any point in the heating network, and some models cannot be used in variable flow operating conditions; at the same time, for the dynamic simulation of the steam network, the existing algorithms need to use the flow demand at the user node as Only the known quantity of the simulation model can obtain the state distribution of the whole network, but in practical applications, real-time acquisition of the flow demand at the user node requires the installation of a flow meter with real-time communication capabilities at the user, which will greatly increase the operation of the heating network. The cost of monitoring is difficult to achieve in large-scale heating networks

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